Payments on Fire

Machine Learning in Fraud Management

Released: Jul 7, 2016

Machine learning and the broader category of artificial intelligence are rightly attracting attention and discussion. These are powerful technologies. But, like many new technology conversations, there’s the suggestion that they can address all use cases.

Maybe focusing on a single use case is the better approach right now. Join Glenbrook’sGeorge Peabody and Nuno Sebastiao, Chairman and CEO of fraud management firm Feedzai, in this refreshing discussion about the role of machine learning in fraud management, some of its limitations, and how services like these fit into an enterprise’s fraud and risk management operations.